A literature review investigation on quality control charts based on fuzzy logic Online publication date: Fri, 15-Jul-2016
by Mina Nasiri; Soroush Avakh Darestani
International Journal of Productivity and Quality Management (IJPQM), Vol. 18, No. 4, 2016
Abstract: To assure the quality of product and services, organisations need to employ quality control tools. In this context, as precise data are not always available, fuzzy sets theory can adequately model the processes in which observed data are vague. Researchers have focused on fuzzy control charts that accommodate uncertainty due to fuzziness. Owing to the importance of fuzzy control charts, this research reviewed the literature on fuzzy control charts since 1990-2012. Based on the objective of this paper, fuzzy application of control charts were analysed with respect to the publication year, journal's title, author's affiliation, data source, fuzzy theory classification, control chart classification and research place. The results demonstrated positive increasing trends of researches occurred in the last decade. To sum up, the results demonstrated that using fuzzy set theory on control chart still needed for further investigation on performance criteria, membership, distributions function, heuristic methods and attribute control chart.
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